Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/amirkiarafiei/open-scholar-peerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/amirkiarafiei/open-scholar-peer/2-osp-literature)<a href="https://agentmods.dev/commands/amirkiarafiei/open-scholar-peer/2-osp-literature"><img src="https://agentmods.dev/badge/commands/amirkiarafiei/open-scholar-peer/2-osp-literature/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/amirkiarafiei/open-scholar-peer/2-osp-literature"><img src="https://agentmods.dev/badge/commands/amirkiarafiei/open-scholar-peer/2-osp-literature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.00837 |
| Opus 5 | $0.00010 | $0.00418 |
| Sonnet 5 | $0.00004 | $0.00167 |
| Haiku 4.5 | $0.00002 | $0.00084 |
Grade A, and why
2-osp-literature scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/2-osp-literature — Literature Review & Expansion
Runs ONE round of external retrieval per invocation. Invoke up to 3 times to complete all rounds. After each round it shows a progress banner and asks whether to continue.
Activation
Invoke the osp-literature-review-agent skill.
Prerequisites
phases.summary.status == "completed"and01_structured_summary.mdexists.- Rounds must be run in order (1 → 2 → 3).
Resource notice
⚠️ Each invocation makes ~8-12 API calls across 3 databases (arXiv, Semantic Scholar, Google Scholar). Expect 1-3 minutes per round.
Round definitions
| # | Anchor | Goal |
|---|---|---|
| 1 | sub-domain-anchor |
Search using the paper's stated sub-domain and primary keywords |
| 2 | method-anchor |
Search using the method's name and key technical terms |
| 3 | temporal-expansion |
Filter to last 12 months; include arXiv pre-prints, concurrent submissions |
Steps
-
Read
.brain/session.json.- Determine
next_round = phases.literature.rounds_completed + 1(default 0 → next = 1). - If
next_round > 3, print: "All 3 rounds complete. Next:/3-osp-historian." and stop. - If any earlier round file is missing, resume from that round instead.
- Determine
-
Read
.brain/raw/01_structured_summary.md. -
Run the next pending round only:
- Activate the
osp-literature-review-agentskill for that round. - The skill searches using all available retrieval tools (
search_arxiv,search_semantic_scholar,search_google_scholar, native Web Search) with different query formulations. - Write the round file (
02a,02b, or02c) using the template atdefaults/round_strategy_template.md.
- Activate the
-
Update
session.json:- Increment
phases.literature.rounds_completed. - If
rounds_completed == 1: setphases.literature.status = "in_progress". - If
rounds_completed == 3: setphases.literature.status = "completed",phases.literature.notes = "3 rounds; <N> unique papers retained",resume_from = "historian". Write the consolidated02_retrieved_literature.md(deduplicated table of all retained papers).
- Increment
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 71 lines · 20 tokens per session scan A b62a904988a2
2-osp-literature is a command published in the GitHub repository amirkiarafiei/open-scholar-peer (28 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 837 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
ars-mark-read
ARS /ars-mark-read — record a user-attested reading signal for one or more citation keys.
ars-cache-invalidate
ARS /ars-cache-invalidate — drop cached verification entries for a citation key.
ars-unmark-read
ARS /ars-unmark-read — rescind a user-attested reading signal for one or more citation keys.
ars-disclosure
ARS academic-paper disclosure mode — venue applicability/status bundle or policy-anchor render.
ars-revision-coach
ARS academic-paper revision-coach — peer-review roadmap or source-accounted real-committee response skeleton.
ars-rebuttal-audit
ARS academic-paper rebuttal-audit mode — QA an existing rebuttal draft against reviewer comments.